Segment objects with only image labels using pixel and semantic context in training data with DSCNet
Segment objects in videos by generating an auxiliary frame between adjacent frames with Chen
Segment scene with SAM efficiently by change bimodal distribution to quantized normal with PTQ4SAM
Segment moving object with moving camera by deep learning and fusion of geometric models with Huang
Fix motion blur by integrating the high frequency for edge and low frequency for structure with MCMS
Segment object using stable diffusion to fine-tune SAM with ASAM
Get 3D scene using 2D Gaussian surface elements to remove normal ambiguity with Dai
Segment scene with semi-supervised learning by inter-pixel relation in pseudo-labels with IPixMatch
Restore image by learning from one image using efficient patch-based learning with Pereg
Super-resolution image with unknown degradation by iterative kernel and estimate noise with IKR-Net
Get many 3D object shapes using SAM, 3DGS, Stabled Diffusion, and SuGaR with OMEGAS
Survey of multi-view 3D object recognition using deep models
Segment objects in videos using only bounding boxes by predict targets in training set with PM-VIS
Segment 3D object using 3D Gaussian Splatting with segmentation feature vector with Silva
Get 3D object shape using deformable 3D Gaussians and time-consistent mesh with DG-Mesh
Get 3D scene by ray-tracing for volume rendering of 3D Gaussians with GOF
Reconstruct image from several noisy, blurred, dim images by flow and spatial attention with IREANet
Detect unknown objects in hierarchy by making image descriptions for training with DetCLIPv3
Segment scene with unknown objects by enhance localization capabilities of CLIP with NACLIP
Segment scene with unknown objects by transferable sparse models and efficient tuning with OpenTrans